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Record W2620647344 · doi:10.1002/celc.201700316

A SiO<sub><i>x</i></sub>‐Based Anode in a High‐Voltage Lithium‐Ion Battery

2017· article· en· W2620647344 on OpenAlexfundno aff
Giuseppe Antonio Elia, Jusef Hassoun

Bibliographic record

VenueChemElectroChem · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsnot available
FundersArctic Goose Joint VentureUniversità degli Studi di Ferrara
KeywordsAnodeMaterials scienceTetraethyl orthosilicateElectrochemistryLithium (medication)Battery (electricity)NanocompositeChemical engineeringSpinelCathodeLithium-ion batteryElectrodeNanotechnologyChemistryMetallurgy

Abstract

fetched live from OpenAlex

Abstract A novel synthetic procedure for the preparation of a SiOx‐based nanocomposite, involving gelification of resorcinol‐formaldehyde and tetraethyl orthosilicate, is reported. The composite is characterized as an anode material in a lithium‐ion battery. The micrometric, amorphous material has a characteristic nanostructured configuration and shows an electrochemical process involving both the alloying of Li−Si and the insertion of Li into the hard carbon matrix. The electrode reveals in a lithium half‐cell a relatively low impedance and a reversible capacity ranging from 650 mAh g−1, at the lower current, to 400 mAh g−1 at high current regimes, with a cycle life extending to 200 cycles. The anode is combined with a high‐voltage LiNi0.5Mn1.5O4 spinel cathode in a 4.3 V lithium‐ion battery delivering a capacity of about 115 mAh g−1 and operating at the high rate of 5C. The suitable synthesis pathway, the low cost and the promising electrochemical behavior suggest the nanocomposite anode for application in high‐performance lithium‐ion battery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.227
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2017
Admission routes1
Has abstractyes

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